Part 9/13:
Compared to other models like U-Net and SegFormer, often limited by memory constraints or slower performance, this CNN-based approach excels in handling gigapixel images efficiently and accurately. When tested on diverse datasets, including canine health and human medical images, it consistently met or exceeded existing benchmarks, showcasing superior adaptability and reliability.